Manuel Häußermann

The results limit seems to be hardcoded, see [line 243](https://github.com/ckreibich/scholar.py/blob/master/scholar.py#L243). See also the change log for version 2.11: > 2.11 The Scholar site seems to have become more picky about...

> Bump - can't install using pip July 2021 The latest release is not Python 3 compatible, it seems. Using `pip install git+https://github.com/diging/tethne` works.

Since the blog post was written (Aug 2023), llama.cpp switched to a new file format (GGUF instead of GGML). GGML is no longer supported by llama.cpp, so that might be...

If you already have the ggml file, you should be able convert it using the [convert-llama-ggml-to-gguf.py](https://github.com/ggerganov/llama.cpp/blob/master/convert-llama-ggml-to-gguf.py) script. You also don't need to download the model using llm for it to...